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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 28  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, CAS, IPSJ-AL [detail] 2023-11-16
16:30
Okinawa   Deep Reinforcement Learning for Multi-Agent Systems with Temporal Logic Specifications
Keita Terashima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2023-70 MSS2023-40
In multi-agent systems, the challenge is how a group of agents collaborate to achieve a common goal. In our previous wor... [more] CAS2023-70 MSS2023-40
pp.54-58
NS 2023-10-06
14:55
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
Crowdsourced Crime Detection System using Large Language Models
Ryuya Itano, Tatsuki Tamano, Honoka Tanitsu, Takahiro Koita (Doshisha Univ.) NS2023-103
In recent years, the number of surveillance cameras installed has been increasing due to the spread of IoT. However, thi... [more] NS2023-103
pp.157-161
RCC, ISEC, IT, WBS 2023-03-14
13:00
Yamaguchi
(Primary: On-site, Secondary: Online)
On Reward Distribution in Reinforcement Learning of Multi-Agent Surveillance Systems with Temporal Logic Specifications
Keita Terashima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) IT2022-81 ISEC2022-60 WBS2022-78 RCC2022-78
In multi-agent systems, it is important to design a reward distribution method based on the contribution of agents for e... [more] IT2022-81 ISEC2022-60 WBS2022-78 RCC2022-78
pp.86-90
IN, NS
(Joint)
2023-03-02
15:20
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
A comparative study of distributed real-time human tracking methods using multiple cameras
Hikaru Katayama, Hideto Yano, Tomoki Yoshihisa, Hideyuki Shimonishi (Osaka Univ.) NS2022-202
In recent years, there are many surveillance camera in cities, and people-tracking technology using them has been focuse... [more] NS2022-202
pp.201-206
CAS, SIP, VLD, MSS 2022-06-16
10:50
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
Multi-Agent Surveillance Based on Equitability of Travel Costs
Kyohei Murakata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2022-3 VLD2022-3 SIP2022-34 MSS2022-3
In this paper, we consider the surveillance problem by multiple agents. A surveillance area is modeled by a directed gra... [more] CAS2022-3 VLD2022-3 SIP2022-34 MSS2022-3
pp.13-16
WIT, HI-SIGACI 2021-12-09
14:55
Online Online Performance evaluation of a YOLO-based detection method of white-cane users in surveillance camera images
Qixi He, Hotaka Takizawa, Akihisa Ohya (UT), Makoto Kobayashi (TUT), Mayumi Aoyagi (AUE) WIT2021-39
The problem of personal accidents of visually impaired individuals in public areas, such as station platforms, has becom... [more] WIT2021-39
pp.40-41
MSS, CAS, IPSJ-AL [detail] 2021-11-19
11:45
Online Online Multi-Agent Surveillance Based on Travel Cost Minimization
Kyohei Murakata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-50 MSS2021-30
In this paper, we consider the surveillance problem by multiple agents. A surveillance area is modeled by a directed gra... [more] CAS2021-50 MSS2021-30
pp.76-79
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-14
16:35
Online Online [Invited Talk] Optimal Control of Multi-Agent Systems: Surveillance Problem and Vehicle Platooning
Koichi Kobayashi (Hokkaido Univ.) RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15
In this talk, our results on control of multi-agent systems are introduced. First, the surveillance problem is introduce... [more] RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15
p.36(RCC), p.38(NS), p.38(RCS), p.41(SR), p.20(SeMI)
CPM 2021-03-03
15:40
Online Online Examination of Countermeasure against Agricultural Damage by Wildlife Using Raspberry Pi.
Ibuki Furukawa, Tomohiro Hirabayashi, Masaru Sato, Mayumi B. Takeyama (Kitami Inst. of Tech.) CPM2020-75
Currently, the spread of damage caused by vermin is a problem in Hokkaido's agriculture and livestock industry.
In par... [more]
CPM2020-75
pp.69-70
SANE 2019-11-28
16:15
Osaka OIT UMEDA Campus Experimental Evaluation of Aircraft Position Verification Method using TDOA
Junichi Naganawa, Hiromi Miyazaki (ENRI) SANE2019-75
ADS-B (Automatic Dependent Surveillance - Broadcast) is one of the next generation aeronautical surveillance systems.
... [more]
SANE2019-75
pp.29-34
WIT, SP 2019-10-26
14:10
Kagoshima Daiichi Institute of Technology Detection and tracking of white-cane users from surveillance camera images by using line segment tracking
Kazusa Sanada, Hotaka Takizawa (Univ. of Tsukuba), Mayumi Aoyagi (Aichi Univ. of Edu.), Akihisa Ohya (Univ. of Tsukuba), Makoto Kobayashi (Tsukuba Univ. of Tech.) SP2019-19 WIT2019-18
Accidents caused by visually impaired individuals in public spaces are becoming social problems. In this study, we devel... [more] SP2019-19 WIT2019-18
pp.13-16
RCC, MICT 2019-05-29
13:00
Tokyo TOKYO BIG SIGHT Dynamic Surveillance over Graphs by Multiple Agents -- On Feasibility Conditions --
Koichi Kobayashi (Hokkaido Univ.) RCC2019-1 MICT2019-1
The surveillance problem is to find optimal trajectories of agents that patrol a given area as evenly as possible. In th... [more] RCC2019-1 MICT2019-1
pp.1-4
RCS, NS
(Joint)
2018-12-21
10:15
Hiroshima Onomichi City Hall Low Bandwidth and High Privacy Surveillance System Architecture Integrating Edge and Cloud Computing
Jiaxing Lu (UTokyo), Kouichirou Amemiya, Kazuhito Matsuda, Makoto Kubota (FUJITSU), Akihiro Nakao (UTokyo) NS2018-171
Surveillance of objects in modern cities through IoT and Edge Computing such as automobile traffic monitoring for public... [more] NS2018-171
pp.71-76
SANE 2018-10-12
09:30
Tokyo The University of Electro-Communications Considering Latency in TDOA-based ADS-B Position Verification
Junichi Naganawa, Hiromi Miyazaki (ENRI) SANE2018-44
ADS-B (Automatic Dependent Surveillance - Broadcast) is one of the next generation aeronautical surveillance systems.
... [more]
SANE2018-44
pp.1-6
EA 2018-10-11
14:30
Fukushima Iwaki business Innovation Center (Iwaki) A study on ship type identification by use of deep neural network
Ryouichi Nishimura, Katsuhiro Temma (NICT), Kiyohiko Hattori (Saitama Inst. of Tech.), Kenji Kaneko (TEAMS), Akinori Ito (Tohoku Univ.), Toyonobu Fujii (TEAMS), Akihiro Kijima (Tohoku Univ.) EA2018-54
Poaching has recently become a serious problem due to the globalization of food culture and the accompanied rising price... [more] EA2018-54
pp.1-6
WIT 2018-08-09
15:15
Nagano   Preliminary study on detection of white-cane users from surveillance camera images
Kazusa Sanada, Hotaka Takizawa (Univ. of Tsukuba), Mayumi Aoyagi (Aichi Univ. of Edu.) WIT2018-15
Accidents caused by visually impaired individuals in public spaces, such as station platforms, are becoming social probl... [more] WIT2018-15
pp.15-18
PRMU 2017-12-17
17:00
Kanagawa   A Background Subtraction Method with an Image Set as a Background Model
Yuya Kasahara, Toru Abe, Takuo Suganuma (Tohoku Univ.) PRMU2017-111
Background subtraction method is one of the approaches for extractingthe regions of moving objects such as people and ve... [more] PRMU2017-111
pp.65-70
PRMU, CNR 2016-02-21
13:00
Fukuoka   Learning and recognizing behavior patterns based on comprehensive movement of people in similar multiple environments
Hiroaki Iwabuchi, Shigeki Aoki, Takao Miyamoto (Osaka Prefecture Univ.) PRMU2015-136 CNR2015-37
Recently,automatic video surveillance systems have become an active area of research.There are detecting irregular behav... [more] PRMU2015-136 CNR2015-37
pp.25-30
PRMU, CNR 2015-02-20
16:00
Miyagi   Detection of irregular behavior patterns based on comprehensive movement of people
Kizuku Nishimura, Shigeki Aoki, Takao Miyamoto (Osaka Prefecture Univ.) PRMU2014-156 CNR2014-71
Automatic video surveillance systems have recently become an active area of research.Typical methods of research can be ... [more] PRMU2014-156 CNR2014-71
pp.221-226
PRMU 2014-06-20
11:00
Tokyo   Pedestrian Counting in a Fixed Camera by Combining Regression with Pass Detection
Yasutomo Kawanishi, Nagisa Shimizu, Masayuki Mukunoki, Michihiko Minoh (Kyoto Univ.) PRMU2014-30
In this paper, we address a problem of pedestrian counting in a surveillance video captured by a fixed camera in a shopp... [more] PRMU2014-30
pp.49-54
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